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A Student-Directed Immersive Intelligent Tutoring System for Language Learning

机译:以学生为导向的沉浸式智能教学系统,用于语言学习

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A self-directed immersive Intelligent Tutoring System is proposed for language learning in pursuit of maximal motivation in students. In this self-directed learning paradigm, the student is given a full freedom in selecting her own courses of learning experience across events (or episodes) unless deviating from the overall pedagogical objective. This high student ownership of learning process is realized with a pedagogy of 'shepherding' students instead of didactic teaching or even facilitating. To accommodate an infinite array of immersive learning activities in spite of students' whimsical choice, a full-blown virtual world is required to provide a corresponding high play affordance. This virtual world is modeled in multitude of layers and dimensions, and is designed to unfold dynamically often coincidentally based on real-world rules often in the forms of emergent situations. These model and design together offer the diversity and realism of situations students can choose to engage themselves in or merely observe. The overall pedagogical objective against this full student autonomy is still fulfilled by separating the learning targets from the episodes and coupling dynamically in situation those targets with the chosen episodes. Beyond the conventional narrative coherency of each episode, a life-long coherency across learning sessions is maintained for each student via historically-contextualized consistent background world inhabited by her corresponding evolving agent.
机译:提出了一种自我导向的沉浸式智能辅导系统,用于语言学习,以追求学生的最大动机。在这种自我导向的学习范式中,学生有充分的自由选择自己的跨事件(或情节)学习经历的课程,除非背离总体教学目标。学生对学习过程的高度所有权是通过“放牧”学生的教学法来实现的,而不是通过讲授性教学甚至是便利来实现的。尽管学生有异想天开的选择,但为了容纳无数的沉浸式学习活动,仍需要一个成熟的虚拟世界来提供相应的高游戏能力。这个虚拟世界是通过多个层次和维度建模的,旨在根据现实世界的规则(通常以紧急情况的形式)经常巧合地动态展开。这些模型和设计共同提供了学生可以选择参与或仅观察的情况的多样性和真实性。通过将学习目标与情节分开,并在情境中将这些目标与所选情节进行动态耦合,仍然可以实现针对学生充分自治的总体教学目标。除了每个情节的常规叙事连贯性之外,还可以通过其相应的进化主体所居住的具有历史背景的一致背景世界,为每个学生维持整个学习过程中的终生连贯性。

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